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University of New Orleans

Optimization of Financial Transmission Right Portfolios Using Risk-Reward Analysis of Deregulated Power Systems

Abstract

dc:description.abstract

Financial Transmission Rights (FTR) is an investment that protects the market customers from price uncertainty in the case of transmission line congestion. Pennsylvania-New Jersey-Maryland Interconnection (PJM) allows bidding of FTR's on various transmission paths. This thesis investigates quantitative methods for portfolio optimization to produce a risk-minimum portfolio of FTR's to bid. A computer model based on Security-Constrained Unit Commitment Problem and Risk-Reward Analysis is developed to simulate various operating conditions of a power system and predict the variations of power flows and corresponding electricity prices. It offers guidelines about the bidding cost and the amount of megawatts to bid for each transmission path, in order to obtain a certain profit with the corresponding minimum risk. The method for calculating the risk and reward is Markowitz Mean-Variance Analysis. The computer model also includes the LMP determination for which a MATLAB code has been developed. The model is tested on a 6-bus power system.

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Electrical Engineering
Year
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Nandedkar, Aashay
Contributors dc:contributor
  • Leevongwat, Ittiphong
  • Rastgoufard, Parviz
  • Charalampidis, Dimitrios

Subjects

dc:subject × 1

Identifiers

dc:identifier.*
Repository record dc:identifier
https://scholarworks.uno.edu/td/1334
OAI identifier oai:identifier
oai:scholarworks.uno.edu:td-2318

Chain of custody

source
Harvested from
University of New Orleans
Base URL
scholarworks.uno.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Nandedkar, Aashay. Optimization of Financial Transmission Right Portfolios Using Risk-Reward Analysis of Deregulated Power Systems. Thesis thesis, 2011. https://scholarworks.uno.edu/td/1334